Method and Device for Estimating Sound Recognition Score (SRS) of a Subject

ABSTRACT

Embodiments of the present disclosure disclose an estimation device for the estimation of Sound Recognition Score. The device estimates a Sound Recognition Score (SRS), to determine the hearing ability of that subject. The device also ascertains the performance of an Augmented Listening Device (ALD). The device comprises a memory unit, in which one or more audio signals and ambient noise signals are stored. The estimation device selects audio signal from the memory unit based on one or more parameters. Further, the device modulates the audio signals with the ambient noise signals and transmits the modulated audio signal to the ALD. Also, the device receives response for the transmitted signals from the ALD and estimates the responses based on the aggregate of values of the read flag data and response flag data. The estimated signal is displayed using a display unit as Sound Recognition Score.

FIELD

The present subject matter is related, in general to field of audiometryand more particularly, but not exclusively to a method and an estimationdevice to estimate sound recognition score to assess the benefit of anaugmented listening device.

BACKGROUND

Many devices and methods have been arrived at for audiometric purposesfor determining hearing acuity. Most of the methods and devicesdeveloped, however, have been lacking in providing for reliable andreproducible results or for accurately testing the hearing acuity of thesubject being tested under the conditions which the subject normallyencounters.

In the existing model, word recognition score estimations arestandardized only to the intensity component of speech and often arelimited to morpheme level analysis. The existing word recognition scoreestimation system depends on oral presentations of the stimuli by aclinician. The determination of basic hearing acuity with respect to,for example, the amplitude of a sound, such as a spoken word, which thesubject can correctly identify, is not particularly difficult. However,a simple test of this nature fails to take into account importantfactors that determine actual hearing acuity of the subject under normalenvironmental conditions.

The existing tools for checking the benefit received from an augmentedlistening device, does not take into account the effect of backgroundnoise on the performance of the device despite it being one of the toppriorities when it comes to choice of amplification.

In particular, conventional audiometer tests to determine hearing acuitydoes not take into account the background noises to which the subject isexposed when the acuity of the subjects hearing is most important,especially when the subject is engaged in his normal occupation. Forexample, a subject employed in a certain location in a factory will beexposed to certain types of background noise more or less continuouslyand it is under these particular conditions that the hearing acuity ofthe subject is important. Furthermore, each environment is accompaniedby a relatively specific background noise at substantially constantsound level, and it is only in the presence of such noise that thehearing acuity of a subject can be reliably determined.

SUMMARY

The one or more shortcomings of the prior art are overcome by a methodand an evaluation system as claimed and additional advantages areprovided through the provision of method and the evaluation system asclaimed in the present disclosure.

Additional features and advantages are realized through the techniquesof the present disclosure. Other embodiments and aspects of thedisclosure are described in detail herein and are considered a part ofthe claimed disclosure.

In an aspect of the present disclosure, a method for estimating SoundRecognition Score (SRS) of a subject is provided. The method comprises,selecting audio signals based on one or more parameters by an estimationdevice. Further, the method comprises, modulating the selected audiosignals with ambient noise signals. Then, the method comprises,transmitting the modulated audio signals to an Augmented ListeningDevice (ALD). The ALD is configured with at least one ear of thesubject. Also, the method comprises, receiving response for thetransmitted signals from the ALD and estimating Sound Recognition Scorebased on the response.

In an embodiment of the present disclosure, an estimating device forestimating Sound Recognition Score (SRS) of a subject is provided. Thedevice comprises, a processor to execute one or more instructions, amemory communicatively coupled to the processor, wherein the memorystores processor-executable instructions, which, on execution, causesthe processor to perform selecting audio signals based on one or moreparameters, modulating the audio signals with ambient noise signals,transmitting the modulated audio signals to an Augmented ListeningDevice (ALD), wherein the ALD is configured with at least one ear of thesubject, receiving response for the transmitted signals from the ALD andestimating the Sound Recognition Score based on the response. Theestimating device helps determine the performance of the ALD byestimating the response received for the transmitted signal.

The foregoing summary is illustrative only and is not intended to be inany way limiting. In addition to the illustrative aspects, embodiments,and features described above, further aspects, embodiments, and featureswill become apparent by reference to the drawings and the followingdetailed description.

DRAWINGS

The novel features and characteristic of the disclosure are set forth inthe appended claims. The disclosure itself, however, as well as apreferred mode of use, further objectives and advantages thereof, willbest be understood by reference to the following detailed description ofan illustrative embodiment when read in conjunction with theaccompanying figures. One or more embodiments are now described, by wayof example only, with reference to the accompanying figures wherein likereference numerals represent like elements and in which:

FIG. 1 illustrates an exemplary environment of test set up including anestimation device to assess the benefit of an Augmented Listening Device(ALD) in accordance with some embodiments of the present disclosure;

FIG. 2 shows a detailed block diagram of an estimation device to assessthe benefit of an Augmented Listening Device (ALD) in accordance withsome embodiments of the present disclosure;

FIG. 3 shows an exemplary representation of method for estimating aSound recognition Score (SRS) of a subject in accordance with someembodiments of the present disclosure; and

FIG. 4 shows a flowchart illustrating a method for estimating a Soundrecognition Score (SRS) of a subject in accordance with some embodimentsof the present disclosure.

The figures depict embodiments of the disclosure for purposes ofillustration only. One skilled in the art will readily recognize fromthe following description that alternative embodiments of the structuresand methods illustrated herein may be employed without departing fromthe principles of the disclosure described herein.

DETAILED DESCRIPTION

In the present document, the word “exemplary” is used herein to mean“serving as an example, instance, or illustration.” Any embodiment orimplementation of the present subject matter described herein as“exemplary” is not necessarily to be construed as preferred oradvantageous over other embodiments.

While the disclosure is susceptible to various modifications andalternative forms, specific embodiment thereof has been shown by way ofexample in the drawings and will be described in detail below. It shouldbe understood, however that it is not intended to limit the disclosureto the particular forms disclosed, but on the contrary, the disclosureis to cover all modifications, equivalents, and alternative fallingwithin the spirit and the scope of the disclosure.

The terms “comprises”, “comprising”, or any other variations thereof,are intended to cover a non-exclusive inclusion, such that a setup,device or method that comprises a list of components or steps does notinclude only those components or steps but may include other componentsor steps not expressly listed or inherent to such setup or device ormethod. In other words, one or more elements in a system or apparatusproceeded by “comprises . . . a” does not, without more constraints,preclude the existence of other elements or additional elements in thesystem or apparatus.

Embodiments of the present disclosure are related to a method and anestimation device for estimating sound recognition score of a subject toassess the benefit of an augmented listening device. The performance ofthe augmented listening device is measured by estimating a soundrecognition score of a subject. The estimation device selects audiosignals from a memory, based on one or more parameters, wherein the oneor more parameters comprise language, pitch and dialect of speech. Theselected audio signals are regulated based on intensity, frequency andtemporal aspects of speech. The selected audio signals are modulatedwith ambient noise signals. The modulated audio signals are transmittedto an Augmented Listening Device (ALD). A response is received from theALD for the transmitted signal, which is estimated to determine theperformance of the ALD.

In the following detailed description of the embodiments of thedisclosure, reference is made to the accompanying drawings that form apart hereof, and in which are shown by way of illustration specificembodiments in which the disclosure may be practiced. These embodimentsare described in sufficient detail to enable those skilled in the art topractice the disclosure, and it is to be understood that otherembodiments may be utilized and that changes may be made withoutdeparting from the scope of the present disclosure. The followingdescription is, therefore, not to be taken in a limiting sense.

With reference to the noise″ referred to, it is understood that it maybe entirely audible or it may consist of a combination of both audibleand inaudible acoustic vibrations. The term noise″ as used herein isthus intended to encompass any and all acoustic vibrations oremanations, whether audible or inaudible and forming a part of theenvironmental conditions to be simulated for test purposes.

FIG. 1 illustrates an exemplary environment of test set up 100 includingan estimation device 101 to assess the benefit of an Augmented ListeningDevice (ALD) 102 in accordance with some embodiments of the presentdisclosure. FIG. 1 illustrates a test set-up 100, preferably a soundproof room. The test set up 100 comprises one or more blocks namely, anestimation device 101, an Augmented Listening Device (ALD) 102,subject's ear 103, feedback from the subject 104 and an audiologist 105.The audiologist 105 initiates a test by selecting one or more audiosignals and one or more noise signals. The estimation device 101modulates the one or more audio signals with the noise signals. Then,the estimation device 101 transmits the modulated audio signal to anAugmented Listening Device (ALD) 102, configured to at least one of thesubject's ear 103. The estimation device 101 receives feedback 104 forthe transmitted signal from the ALD 102, configured to the subject's ear103 and estimates the feedback from the subject 103 as Sound RecognitionScore (SRS). In an embodiment, the feedback may also be provided to theaudiologist 105 for analysis.

FIG. 2 illustrates a detailed block diagram of an estimation device 101.The estimation device 101 may include at least one central processingunit (“CPU” or “processor”) 201 and a memory 204 storing instructionsexecutable by the at least one processor 201. The processor 201 maycomprise at least one data processor for executing program componentsfor executing user or system-generated requests. A user may include aperson, a person using a device such as those included in thisdisclosure, or such a device itself. The memory 204 is communicativelycoupled to the processor 201. In an embodiment, the memory 204 storesone or more data 212. The estimation device 101 further comprises an I/Ointerface 203. The I/O interface 203 is coupled with the processor 201through which an input signal or/and an output signal is communicated.The estimation device 101 also comprises a display unit 202 to displaythe estimated SRS.

In an embodiment, one or more data 212 may be stored within the memory204. The one or more data 212 may include, for example, audio signalsdata 213, ambient noise signals data 214, read flag data 215, responseflag data 216 and other data 217. A specific bit of memory 204 isallocated as read flag data 215, a specific bit of memory 204 isallocated as response flag data 216, and other data 217.

In one embodiment, the audio signals data 213 may be a representation ofsound, typically as an electrical voltage. The audio signals data 213are selected from a memory 204 based on one or more parameters. The oneor more parameters of the selected audio signals data 213 may include,but are not limited to, language, pitch and dialect of speech. The audiosignals data 213 includes, but is not limited to a phrase, a word,syllables, and a sound across the audible spectra. In an embodiment, theaudio signals 213 are standardized based on intensity, frequency andtemporal aspects of speech.

In one embodiment, the ambient noise signals data 214 may be entirelyaudible or it may consist of a combination of both audible and inaudibleacoustic vibrations. The noise referred herein may vary for differentenvironment. The ambient noise signals data 214 are stored in a memory204, configured in the estimation device 101.

In an embodiment, a specific bit of memory 204 is allocated as read flagdata for each of the memory 204 location comprising audio signals data213. The selected audio signal is then modulated and transmitted to theALD 102. Upon transmission of the modulated signal, the read flag data215 is updated from one predefined logic level to another predefinedlogic level.

In an embodiment, a specific bit of memory 204 is allocated as responseflag for each of the memory 204 location comprising audio signals data213. Upon reception of a response for the transmitted signal, by theestimation device 101, the response flag data 216 is updated from onepredefined logic level to another predefined logic level.

In an embodiment, the data 212 in the memory 204 is processed by modules205 of the processor 201. The modules 205 may be stored within thememory 204. In an example, the one or more modules 205, communicativelycoupled to the processor 201, may also be present outside the memory204. As used herein, the term module refers to an application specificintegrated circuit (ASIC), an electronic circuit, a processor (shared,dedicated, or group) and memory 204 that execute one or more software orfirmware programs, a combinational logic circuit, and/or other suitablecomponents that provide the described functionality.

In one implementation, the modules may include, for example, a selectionmodule 206, a modulation module 207, a transceiver module 208, a SRSgeneration module 209, a flag update module 210 and other modules 211.It will be appreciated that such aforementioned modules may berepresented as a single module or a combination of different modules.

In an embodiment, the selection module 206 is configured in theestimation device 101 to select at least one of, audio signals data 213and ambient noise signals data 214. The selection module 206 accessesthe memory 204 based on the audio signal data 213 to be collected.

In an embodiment, the modulation module 207 modulates the audio signaldata 213 with the ambient noise signal data 214. The modulationtechnique adapted may include, but is not limited to, analog modulationand digital modulation. Modulation comprises, varying one or moreproperties of a periodic waveform, called the carrier signal, with amodulating signal or the audio signal data 213 that typically containsinformation to be transmitted.

In an embodiment, the transceiver module 208 is configured in theestimation device 101 to transmit or receive one or more data 212. Thetransceiver module transmits the modulated audio signal to an ALD 102,configured to at least one ear of the subject. Also, the transceivermodule 208 receives a response for the transmitted signal from the ALD102. The transceiver module 208 may communicate with other embodimentsof the present disclosure through one of, wired connection, Bluetooth,Wireless Fidelity (Wi-Fi), infrared and any other communicationprotocols.

In an embodiment, the SRS generation module 209 is configured togenerate a sound recognition score of a subject. The SRS generationmodule 209 estimates the aptness of the ALD 102 by estimating the numberof stimuli read and the number of responses received for each of theread stimuli. The estimated score helps in assessing performance of theALD 102.

In an embodiment, the estimation device 101 comprises a flag updatemodule 210, to update the read flag data 215 and the response flag data216, when the modulated audio signal is transmitted to the ALD 102 and aresponse is received from the ALD 102 for the transmitted signal,respectively.

As shown in FIG. 2, the selection module 206 selects the audio signalsdata 213 and ambient noise signals data 214 based on the one or moreparameters. The modulation module 207 modulates the audio signals data213 with the ambient noise signals data 214. The transceiver module 208transmits the modulated audio signal to an Augmented Listening Device(ALD) 102, wherein the ALD is configured to at least one ear of thesubject. Upon transmission, the flag update module 210 updates the readflag data 215. The transceiver module 208 receives a response for thetransmitted signal from the ALD 102, upon which the flag update module210 updates the response flag data 216. The SRS generation module 209estimates the Sound recognition Score based on the aggregate of thevalues of read flag data 215 and the response flag data 216. Theestimated SRS is then displayed by one of, the display unit 102 or anyother unit which may be configured with the estimation device 101.

The estimation device 101 may also comprise other modules 211 to performvarious miscellaneous functionalities. It will be appreciated that suchaforementioned modules may be represented as a single module or acombination of different modules.

FIG. 3 illustrates a method to generate SRS of a subject in accordancewith some embodiments of the present disclosure. One or more audiosignals data 213 and one or more noise signal data 214 are stored in thememory 204, of the estimation device 101. Each of the one or more audiosignal data 213 modulated with the ambient noise signal 214 may beconsidered as a stimulus. A specific bit is allocated in memory 204 asread flag data 215 to monitor each of the memory location comprising theaudio signals data 213. The flag update module 210 updates the read flagdata 215, from one predefined logic level to another predefined logiclevel, upon transmission of the modulated audio signal to the ALD 102.Also, a specific bit is allocated in memory 204 as response flag data216 to track the responses from the ALD 102. The response flag data 216is allocated to each of the memory 204 location comprising the audiosignals data 213. The flag update module 210 updates the response flagdata 216 from a predefined logic level to another predefined logic levelupon reception of a response for the transmitted audio signal from theALD 102.

As shown in FIG. 3, a read flag data 215 and a response flag data 216 isassociated with each of the one or more audio signals data 213 selectedfrom the memory 204. The audio signal data 213 is modulated with theambient noise signals data 214 and the modulated audio signals istransmitted to the ALD 102. The read flag data 215 monitors each of thestimulus transmitted. The flag update module 210 updates the status ofthe read flag data 215 from one predefined logic level to anotherpredefined logic level, whenever a stimulus is transmitted to the ALD102. The response flag data 216 monitors each of the response receivedfrom the ALD 102. The flag update module updates the response flag data216 whenever the estimation device 101 receives a response for thetransmitted signal from the ALD 102. One or more counters (301 and 302)are configured in the estimation device 101 to sum the values of theread flag data 215 and the response flag data 216, associated with eachof the memory 204 location comprising the stimulus which is transmittedto the ALD 102. The values of the one or more counters (301 and 302)indicate the total number of stimuli selected by the estimation device101 and the total response received by the estimation device 101respectively. The SRS generation module 303 estimates the SRS of thesubject based on the values of one or more counters (301 and 302). Thedisplay unit 202 displays the generated SRS only upon receiving the “endof test” signal. Also, the display unit 202 displays each of theselected stimuli from the memory 204. When a user selects one or morestimuli from the memory 204, a digital signal out signal 304 ismultiplexed with each of the stimulus and is displayed by the displayunit 202.

FIG. 4 shows a flowchart illustrating a method for estimating SoundRecognition Score (SRS) 400 of a subject, in in accordance with someembodiments of the present disclosure.

As illustrated in FIG. 4, the method 400 comprises one or more blocksfor estimating Sound recognition Score (SRS) 400 of a subject. Themethod 400 may be described in the general context of computerexecutable instructions. Generally, computer executable instructions caninclude routines, programs, objects, components, data structures,procedures, modules, and functions, which perform particular functionsor implement particular abstract data types.

The order in which the method 400 is described is not intended to beconstrued as a limitation, and any number of the described method blockscan be combined in any order to implement the method. Additionally,individual blocks may be deleted from the methods without departing fromthe spirit and scope of the subject matter described herein.Furthermore, the method can be implemented in any suitable hardware,software, firmware, or combination thereof.

At step 401, selecting one or more audio signals data 213 and ambientnoise signals data 214 from a memory 204, based on one or moreparameters. The audio signals data 213 is selected based on parametersincluding, but not limited to, language, pitch and dialect of speech.The selected audio signals data 213 may comprise at least one of, aphrase, a word, syllables, and a sound across the audible spectra.Further, the selected audio signals 213 are regulated based onintensity, frequency and temporal aspects of speech.

At step 402, modulate the audio signals data 213 with the ambient noisesignals data 214. Modulation involves merging of two input signals, i.e.audio signals data 213 and the ambient noise signals data 214 to form amodulated signal with desirable characteristics of both the inputsignals.

At step 403, transmit the modulated signals to an Augmented ListeningDevice (ALD) 102, wherein the ALD 102 is configured with at least oneear of the subject. Transmission of the modulated signals may be throughone of, wired transmission, Wireless Fidelity (Wi-Fi), Bluetooth,microwave, Infrared or any other methods compatible with the instantdisclosure.

At step 404, receive response for the transmitted signal, from the ALD102. The estimation device 101 has a feedback mechanism through which aresponse is received for each of the transmitted signals.

At step 405, estimating the Sound Recognition Score (SRS) by theestimation device 101, based on the values of one or more counters (301and 302). The one or more counters (301 and 302) calculate the totalnumber of stimuli transmitted to the ALD 102 and the total number ofresponse received for the transmitted audio signals. The SRS generationmodule 209 estimates the sound recognition score of the subject based onthe values of the counters (301 and 302).

In an exemplary embodiment of the present disclosure, the methodcomprises, selecting either a male voice or a female voice from thememory 204. A specific bit is allocated in the memory 204 as read flagdata 215 to monitor each of the memory 204 location comprising the audiosignals data 213. For every modulated audio signals transmitted to theALD 102, the flag update module 210 updates the read flag data 215, fromone predefined logic level to another predefined logic level, indicatingthat the corresponding audio signal has been read. Also, a specific bitis allocated in memory 204 as response flag data 216 for each of thememory location 204 comprising the audio signals data 213 The responseflag data 216 monitors every response received for the transmittedsignal, from the ALD 102. The flag update module 210 updates theresponse flag data 216 from a predefined logic level to anotherpredefined logic level to indicate that a response is received for thetransmitted signal, from the ALD 102. The SRS generation module 303estimates the sound recognition score of the subject based on the valuesof one or more counters (301 and 302) to indicate the aptness ofresponse. The display unit 202 displays the thus obtained percentagescore as the Sound Recognition Score (SRS). Further, the estimationdevice 101 also has a method to resets the read flag data 215 and theresponse flag data 216.

Advantages of the embodiment of the present disclosure are illustratedherein.

In an embodiment, the present disclosure illustrates an estimationdevice to assess the performance of a person's hearing ability. Theestimation device provides a better yardstick for the comparison ofbenefit received from an Augmented Listening Device.

In an embodiment, the present disclosure illustrates an estimationdevice for segregating norms for high pitch and low pitch voices.

In an embodiment, the present disclosure illustrates a test procedure,optimized with respect to intensity, frequency and temporal aspects ofspeech sounds.

In an embodiment, the present disclosure provides a method forgenerating Sound Recognition Score of a person, offering standardizationwith respect to dialect variation of a language.

In an embodiment, the present disclosure provides a method to demarcatethe effects of background noise on the performance of the ALD.

The terms “an embodiment”, “embodiment”, “embodiments”, “theembodiment”, “the embodiments”, “one or more embodiments”, “someembodiments”, and “one embodiment” mean “one or more (but not all)embodiments of the invention(s)” unless expressly specified otherwise.

The terms “including”, “comprising”, “having” and variations thereofmean “including but not limited to”, unless expressly specifiedotherwise.

The enumerated listing of items does not imply that any or all of theitems are mutually exclusive, unless expressly specified otherwise. Theterms “a”, “an” and “the” mean “one or more”, unless expressly specifiedotherwise.

A description of an embodiment with several components in communicationwith each other does not imply that all such components are required. Onthe contrary a variety of optional components are described toillustrate the wide variety of possible embodiments of the invention.

When a single device or article is described herein, it will be readilyapparent that more than one device/article (whether or not theycooperate) may be used in place of a single device/article. Similarly,where more than one device or article is described herein (whether ornot they cooperate), it will be readily apparent that a singledevice/article may be used in place of the more than one device orarticle or a different number of devices/articles may be used instead ofthe shown number of devices or programs. The functionality and/or thefeatures of a device may be alternatively embodied by one or more otherdevices which are not explicitly described as having suchfunctionality/features. Thus, other embodiments of the invention neednot include the device itself.

The illustrated operations of FIG. 4 show certain events occurring in acertain order. In alternative embodiments, certain operations may beperformed in a different order, modified or removed. Moreover, steps maybe added to the above described logic and still conform to the describedembodiments. Further, operations described herein may occur sequentiallyor certain operations may be processed in parallel. Yet further,operations may be performed by a single processing unit or bydistributed processing units.

Finally, the language used in the specification has been principallyselected for readability and instructional purposes, and it may not havebeen selected to delineate or circumscribe the inventive subject matter.It is therefore intended that the scope of the invention be limited notby this detailed description, but rather by any claims that issue on anapplication based here on. Accordingly, the disclosure of theembodiments of the invention is intended to be illustrative, but notlimiting, of the scope of the invention, which is set forth in thefollowing claims.

While various aspects and embodiments have been disclosed herein, otheraspects and embodiments will be apparent to those skilled in the art.The various aspects and embodiments disclosed herein are for purposes ofillustration and are not intended to be limiting, with the true scopeand spirit being indicated by the following claims.

REFERRAL NUMERALS

Reference Number Description 100 Environment of Test Set Up 101 Anestimation device 102 Augmented Listening Device 103 Subject's ear 104Feedback from subject 105 Audiologist 201 Processor 203 I/O interface205 Modules 206 Selection module 207 Modulation module 208 Transceivermodule 209 SRS generation module 210 Flag update module 211 Other module212 Data 213 Audio signal data 214 Noise signal data 215 Read flag data216 Response flag data 217 Other data 301 Counter 302 Counter 303 SRSgeneration unit 304 Digital signal out 305 End of test 400 Method toestimate SRS of a subject

What is claimed is:
 1. A method for estimating Sound Recognition Score(SRS) of a subject, comprising: selecting, by an estimation device,audio signals based on one or more parameters; modulating, by theestimation device, the audio signals with ambient noise signals;transmitting, by the estimation device, the modulated audio signals toan Augmented Listening Device (ALD), wherein the ALD is configured withat least one ear of the subject; receiving, by the estimation device,response for the transmitted signals from the ALD; and estimating, bythe estimation device, the Sound Recognition Score based on theresponse.
 2. The method as claimed in claim 1, wherein the selectedaudio signals comprise at least one of, a phrase, a word, syllables, anda sound across the audible spectra.
 3. The method as claimed in claim 1,wherein the one or more parameters comprise language, pitch and dialectof speech.
 4. The method as claimed in claim 1, wherein the selectedaudio signals are regulated based on intensity, frequency and temporalaspects of speech.
 5. The method as claimed in claim 1 furthercomprising updating a read counter upon transmitting the modulated audiosignal to the ALD.
 6. The method as claimed in claim 1 furthercomprising updating a response counter upon receiving the response forthe transmitted signal from the ALD.
 7. The method as claimed in claims5 and 6, wherein the estimation of SRS is performed using values of theread counter and the response counter.
 8. An estimating device forestimating Sound Recognition Score (SRS) of a subject, comprising: aprocessor; a memory communicatively coupled to the processor, whereinthe memory stores processor-executable instructions, which, onexecution, causes the processor to: selecting audio signals based on oneor more parameters; modulating the audio signals with ambient noisesignals; transmitting the modulated audio signals to an AugmentedListening Device (ALD), wherein the ALD is configured with at least oneear of the subject; receiving response for the transmitted signals fromthe ALD; and estimating the Sound Recognition Score based on theresponse.
 9. The estimation device as claimed in claim 8, wherein theselected audio signals comprise at least one of, a phrase, a word,syllables, and a sound across the audible spectra.
 10. The estimationdevice as claimed in claim 8, wherein the one or more parameterscomprise language, pitch and dialect of speech.
 11. The estimationdevice as claimed in claim 8, wherein the selected audio signals areregulated based on intensity, frequency and temporal aspects of speech.12. The estimation device as claimed in claim 8 further comprising aread counter, wherein the value of the read counter is updated upontransmitting the modulated audio signal to the ALD.
 13. The estimationdevice as claimed in claim 8 further comprising updating a responsecounter, wherein the value of the response counter is updated uponreceiving the response for the transmitted signal from the ALD.
 14. Theestimation device as claimed in claims 12 and 13, wherein the estimationof SRS is performed using values of the read counter and the responsecounter.